DocumentCode :
1798055
Title :
Behavior characteristics of mixed traffic flow on campus
Author :
Mianfang Liu ; Shengwu Xiong ; Xiaohan Yu ; Pengfeng Duan ; Jun Wang
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
140
Lastpage :
147
Abstract :
Campus security is an important part of social security in China. As reported in exist literature, very limited efforts are made to study mixed traffic flow behavior on campus. Present study attempts to highlight studies of single traffic flow or pedestrian-vehicle traffic flow. This paper deals with the research into the analysis of the characteristics of mixed traffic flow on campus, including cars, motorbikes, bicycles, and pedestrians. Total 440 minutes video data on two different locations on campus are extracted by employing videographic technique. The research is designed determine factors for traffic flow variety. Fluctuations in traffic flow depends on the student schedules, particularly during the peak time as there are large pedestrian flow and bicycle flow in short interval time. At the same time, a spatial-temporal analysis for establishing the relationship about mixed traffic flows is discussed. Flow models of speed-flow, speed-occupancy, flow-occupancy about mixed traffic are developed to illustrate behavior characteristics of mixed traffic stream on campus of different dimensions. The results obtained are significant for evacuation simulation and planning under various conditions on campus.
Keywords :
pedestrians; traffic engineering computing; video recording; video signal processing; China; behavior characteristics; bicycle flow; campus security; flow-occupancy; mixed traffic flow behavior; pedestrian flow; pedestrian-vehicle traffic flow; social security; spatial-temporal analysis; speed-flow; speed-occupancy; traffic flow variety; video data; videographic technique; Bicycles; Educational institutions; Legged locomotion; Logic gates; Motorcycles; Roads;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Vehicles and Transportation Systems (CIVTS), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/CIVTS.2014.7009490
Filename :
7009490
Link To Document :
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